NDLI: Can We Use Second Minor Finger Knuckle Patterns to Identify Humans?

Content Provider	IEEE Xplore Digital Library
Author	Kumar, A. Zhihuan Xu
Copyright Year	2014
Description	Author affiliation: Dept. of Comput., Hong Kong Polytech. Univ., Kowloon, China (Kumar, A.; Zhihuan Xu)
Abstract	Human hand possesses some of the most distinctive anatomical features which have been extensively used for the biometrics identification. However there are several hand features which results from complex interaction among bones, muscles, skin and tissues (therefore these are expected to be anatomically unique to individuals) which remain relatively unexplored for their potential in biometrics especially for forensic applications. This paper explores the possibility of using lowest finger knuckle patterns formed on the joints between metacarpal and the proximal phalanx bones for the biometrics identification. We automatically segment such region of interest from the hand images and normalize/enhance them to accommodate illumination, scale and pose variations resulting from the contactless imaging. The normalized knuckle images are used to match using several matchers popular in the literature. We use database of 110 different subjects acquired from the contactless hand imaging to ascertain the performance. We also evaluate the performance from matching of such lowest finger knuckle patterns using two session data acquired after an interval of at least two years. The experimental results are very encouraging and demonstrate potential of such unexplored finger knuckle patterns for the biometrics applications.
Sponsorship	IEEE Comput. Soc.
Starting Page	106
Ending Page	112
File Size	767282
Page Count	7
File Format	PDF
ISBN	9781479943081
ISSN	21607516
DOI	10.1109/CVPRW.2014.21
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-06-23
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Finger Knuckle Identification Biometrics (access control) Finger Dorsal Biometrics Thumb Imaging Lighting Bones Hand Biometrics Minor Finger Knuckle Recognitiong
Content Type	Text
Resource Type	Article

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